PhD thesis : Modelling of human pancreatic Islet electrical aCtivity for bio-inspired automated insulin delivery system

Topic description

Context :

The topic is part of the MIMICbio project (), funded by the French National Research Agency (ANR, ). Although automated insulin delivery (AID) systems - also known as artificial pancreas - are gaining considerable interest [1,2] as a safer, more reliable and more comfortable way of caring patients with type 1 diabetes (T1D), no solution has yet become the norm. In fact, AID systems are still limited to partial automation , i.e. meals have to be announced, the amount of carbohydrate taken during meals has to be estimated, and hypoglycaemia can still occur due to over-administration of insulin. MIMICbio project aims to overcome the limitation of partial automation by taking inspiration from the mechanisms of the pancreatic islets, and by learning from the lifestyle of the T1D patient. Note that the PhD funding is already obtained!

Goal / methods :

T1D is an auto-immune disease which destroys the pancreatic β-cells so that no endogenous insulin is produced. The aim of the PhD project is to build dynamic models of healthy human islets (including β-cells) in order to derive a bio-inspired AID system, i.e. design an artificial pancreas which is based on models able to mimic healthy pancreatic islets [3,4]. From biological experimental data carried out at the CBMN lab (Univ. Bordeaux), pancreatic islets were cultured on MEA electrodes in an Organ-on-Chip (OoC) framework,and subjected to glucose stimulus (step-like dynamic, etc.). Islets generated an electrical activity measured by the electrodes. Preliminary result has been obtained by using subspace techniques, coupled with a grey box approach to model the multicellular β-cells activity (termed Slow Potentials [3]) of the islets. Modelling of such activities is of great interest for control purpose, since it characterises insulin need. However, the range of validity of the preliminary model is limited (step-like glucose rise). Targeted contributions are to i) develop and validate dynamic models reproducing the multicellular activities of β-cell s and their specific kinetics during realistic meals, ii) considering the activity of α-cells , the 2nd main cell type within islets, and their physiological role as hypoglycaemia detector, and iii) transpose these models into bio-inspired control algorithms [5,6,7] to derive a fully automated health-aware control solution .

Environment :

The candidate will benefit from the complementary expertise of 3 permanent researchers from the IMS laboratory (Pr. Jérôme Cieslak, Ass. Pr. David Gucik-Derigny, Pr. David Henry), and of the Colombian professor Pablo Santiago Rivadeneira, who will be present at the IMS laboratory during the first months of the PhD project. The proximity with the biology laboratory (CBMN) will be an asset in fully immersing ourselves in this multidisciplinary PhD project. This work is part of a more global framework, and occasional visits to the LS2N laboratory (Centrale Nantes) may be required for meetings of the MIMICbio consortium.

Profile :

The candidate will preferably have an Engineering / M2 Research Master's degree in Control theory , while remaining open to Applied Mathematics and Computer Sciences (data-driven dynamic modeling) :

• A strong mathematical background related to modelling and control / observation of dynamic systems is required (e.g. experimental identification , robust control, uncertain dynamic models , estimation / filtering),
• A confirmed level of programming practice in at least one object language ( notably : Matlab , Python) and a good practice of English (written and oral) are also required.
• Certificate of achievement in identification and / or dynamic modeling will be a plus.

More information :

References

1] Trevitt et al. [2] Jacobs et al., Artificial intelligence and machine learning for improving…, IEEE Rev Bio Eng , 17,

3] Lebreton, et al., Slow potentials encode intercellular coupling…, Diabetalogia 58 .

4] Jaffredo et al. Dynamic Uni- and Multicellular Patterns Encode Biphasic… Diabetes 70

5] Olçomendy et al., Integrating an Islet-Based Biosensor…, IEEE Trans Biomed , 69,

6] Olçomendy et al. Towards the Integration of an Islet-Based Biosensor… Frontiers in end . 13

7] Herrero et al. The bio-inspired artificial pancreas for type 1 diabetes... JDST 13 : - .

Funding category

Other public funding

Funding further details

Agence Nationale de la Recherche (ANR)